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The detection of chlorophyll content is very important for evaluating the growing status of wheat. In this study, fluorescence spectra and chemometrics method were used to measure the chlorophyll content of wheat leaves. A laser induced fluorescence system was constructed with laser
light source, holding device, detection fiber, and a microspectrometer. Totally, 120 samples were collected, which were then divided into a calibration set and a prediction set. Partial least square regression (PLSR) method was used to build the calibration model. Results showed that the fluorescence
spectra induced with a 405 nm semiconductor laser had two peak positions at 686 nm and 732 nm, respectively. The 650–790 nm fluorescence spectra had high correlation with chlorophyll content (denoted by SPAD value). The correlation coefficient of the calibration model is r = 0
82, the standard error of prediction for SPAD values is SEP = 4.36. The results indicated that laser induced fluorescence spectra combined with chemometrics were suitable for the non-invasive detection of chlorophyll content of wheat leaves, and it will be benefit for monitoring the growing
status of winter wheat.
ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.